Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1
Gebonden Engels 2018 9780444642059Levertijd ongeveer 9 werkdagen
Gratis verzonden
Samenvatting
Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One provides a comprehensive survey of the contemporary developments related to the analysis and learning of images, shapes and forms. It covers mathematical models as well as fast computational techniques, and includes new chapters on Alternating diffusion: a geometric approach for sensor fusion, Shape Correspondence and Functional Maps, Geometric models for perception-based image processing, Decomposition schemes for nonconvex composite minimization: theory and applications, Low rank matrix recovery: algorithms and theory, Geometry and learning for deformation shape correspondence, and Factoring scene layout from monocular images in presence of occlusion.
Specificaties
Lezersrecensies
Wees de eerste die een lezersrecensie schrijft!
Inhoudsopgave
Section One
1. Compressed Learning for Image Classification: A Deep Neural Network Approach
E. Zisselman, A. Adler and M. Elad
Section Two
2. Exploiting the Structure Effectively and Efficiently in Low Rank Matrix Recovery
Jian-Feng Cai and Ke Wei
Section Three
3. Partial Single- and Multi-Shape Dense Correspondence Using Functional Maps
Alex Bronstein
4. Shape Correspondence and Functional Maps
Maks Ovsjanikov
5. Factoring Scene Layout From Monocular Images in Presence of Occlusion
Niloy J. Mitra
1. Compressed Learning for Image Classification: A Deep Neural Network Approach
E. Zisselman, A. Adler and M. Elad
Section Two
2. Exploiting the Structure Effectively and Efficiently in Low Rank Matrix Recovery
Jian-Feng Cai and Ke Wei
Section Three
3. Partial Single- and Multi-Shape Dense Correspondence Using Functional Maps
Alex Bronstein
4. Shape Correspondence and Functional Maps
Maks Ovsjanikov
5. Factoring Scene Layout From Monocular Images in Presence of Occlusion
Niloy J. Mitra
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